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thesis/chapters/conclusion.tex
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\acresetall
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\chapter{Conclusion}
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% - evaluate effect of transient node resets + hardened implementation
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% - create tools for setting up + measuring + analysing experiments
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% - \fitlab
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% - stable topology
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% --> comparable
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% - transient node resets are a thing
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% - if reset: changes ++
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% - less with hardening
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% - if no reset: less good --> depends on use-case
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% - convergence time
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% - restoring state takes time
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% - restoring wrong state even more --> validation helps
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% - performance: delay, packet loss
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% - hardened implementation loses fewer packets when used without restore UID
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% - but both worse without single node reset
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The topic of this work has been to evaluate the reset of single node restarts
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and the possibly resulting transient node failures on a \ac{WSN} which uses
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the \ac{RPL}. The evaluation has been performed using \fitlab. For this software has
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been created to automate the experiments using the existing infrastructure
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provided by \fitlab and analyze the data obtained from the experiments. For
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running the hardened implementation in \fitlab, the implementation has been
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ported to a newer version of \emph{Contiki} that has device support for the
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sensor nodes.
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Each experiment has been performed in six different phases, where the first two
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(N and R) use the default implementation of \ac{RPL} in \emph{Contiki}, the
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second pair (H and HR) uses the hardened implementation \cite{mueller2017} and
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the third pair (HS and HSR) uses the hardened implementation that also checks
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the validity of the restored routing information.
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First, the \ac{DAG} that results from each experiment has been compared and
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checked for variances. It has been discovered that, using \fitlab it is possible
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to reliably create a tree where a certain node (e.g. the node to be
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reset during R, HR and HSR) joins the \ac{DAG} at a certain rank. This means
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that comparable results can be obtained for the effect of single node resets.
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Next, the instability of the \ac{DAG} has been evaluated by counting the number
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of changes that occur during each phase. It has been observed that a single reset
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will trigger a large amount of changes in the \ac{DAG}, which will result in a
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higher energy consumption. If such resets occur, both versions of the hardened
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implementations will reduce the number of changes to the
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\ac{DAG}, but will increase the number of changes if no resets occur, in which
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case the default implementation performs better.
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From observing the network convergence times for \ac{RPL} for each
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implementation with and without single node resets, it can be concluded that
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restoring the state takes time, during which arriving packets will be lost. The
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hardened implementation, but without the validity checks enabled, performs best in
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reducing the time packets are dropped while the node recovers from its reset. It
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has been discovered that the validity checks that involve the exchange of
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\ac{DIO} messages take longer than recreating the state without restoring it
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from persistent memory.
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The final part of the evaluation looked at the message overhead generated by
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each implementation and for a network with and without single node resets. Here
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it has been observed, that the default implementation creates the lowest
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overhead for a scenario without single node resets, while the hardened
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implementations create a large overhead if no single node reset occurs. For a
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scenario where single node resets occur, both of the hardened implementations
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manage to achieve a smaller message overhead than the default implementation.
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In general, it can be concluded that the energy consumption of the hardened
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implementation is significantly higher than for the default implementation if no
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single node resets occur. If single node resets occur, the hardened
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implementation will only have a small advantage over the default implementation
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in terms of energy consumption.
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